{"id":"W2007071340","doi":"10.1016/j.biomaterials.2011.01.022","title":"Hierarchical nanoengineered surfaces for enhanced cytoadhesion and drug delivery","year":2011,"lang":"en","type":"article","venue":"Biomaterials","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; McMaster University","keywords":"Nanotopography; Materials science; Adhesion; Drug delivery; Nanotechnology; Mucus; Cell adhesion; Biophysics; In vivo; Tissue engineering; Biomedical engineering; Biology; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003975147,0.0001848799,0.0003108867,0.00006692392,0.0001507827,0.00008178391,0.000152442,0.00006237156,0.0004324407],"category_scores_gemma":[0.00007860146,0.0001522298,0.0000468906,0.00005092278,0.0001260253,0.0002564626,0.0001177374,0.000007881791,0.0001457856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000218364,"about_ca_system_score_gemma":0.00002213704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001886234,"about_ca_topic_score_gemma":0.00001838384,"domain_scores_codex":[0.9987538,0.00008491889,0.0003439181,0.0003433186,0.0001305678,0.0003434021],"domain_scores_gemma":[0.9993706,0.0001619027,0.000115809,0.0001881012,0.00007165805,0.00009198025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002579448,0.0000317396,0.00005014508,0.00003964495,0.00001525944,0.000001643893,0.0009119619,2.219243e-7,0.9977432,0.00005870933,0.0005964841,0.0002930225],"study_design_scores_gemma":[0.0003498579,0.00006938523,0.001888392,0.00003494548,0.00001778558,0.000004857814,0.0001271658,0.000009926192,0.9961866,0.0002636392,0.0008573264,0.0001901311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964364,0.0004195269,0.0003706396,0.00007713193,0.001867474,0.0003038288,0.000142345,0.0001915228,0.0001911885],"genre_scores_gemma":[0.993269,0.00006093739,0.006225714,0.00005231606,0.00008211741,0.00008332555,0.000005904217,0.00002165612,0.0001990109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005855075,"threshold_uncertainty_score":0.620775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03403697046911146,"score_gpt":0.262715353915248,"score_spread":0.2286783834461365,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}